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Mathematical rule for inverting probabilities
Bayes' theorem (alternatively Bayes' law or Bayes' rule), named after Thomas Bayes (/beɪz/), gives a mathematical rule for inverting conditional probabilities
Bayes'_theorem
British statistician (c. 1701 – 1761)
who is known for formulating a specific case of the theorem that bears his name: Bayes' theorem. Bayes never published what would become his most famous
Thomas_Bayes
Probabilistic classification algorithm
Despite the use of Bayes' theorem in the classifier's decision rule, naive Bayes is not (necessarily) a Bayesian method, and naive Bayes models can be fit
Naive_Bayes_classifier
Theory and paradigm of statistics
parameters. Bayesian statistics is named after Thomas Bayes, who formulated a specific case of Bayes' theorem in a paper published in 1763. In several papers
Bayesian_statistics
Method of statistical inference
Bayesian inference (/ˈbeɪziən/ BAY-zee-ən or /ˈbeɪʒən/ BAY-zhən) is a method of statistical inference in which Bayes' theorem is used to calculate a probability
Bayesian_inference
Mathematical decision rule
In estimation theory and decision theory, a Bayes estimator or a Bayes action is an estimator or decision rule that minimizes the posterior expected value
Bayes_estimator
Bayesian statistical inference method
integrated out. Empirical Bayes methods can be seen as an approximation to a fully Bayesian treatment of a hierarchical Bayes model. In, for example, a
Empirical_Bayes_method
Ratio of competing statistical models
not be improper since the Bayes factor will be undefined if either of the two integrals in its ratio is not finite. The Bayes factor is the ratio of two
Bayes_factor
Statistical model written in multiple levels
method. The sub-models combine to form the hierarchical model, and Bayes' theorem is used to integrate them with the observed data and account for all
Bayesian hierarchical modeling
Bayesian_hierarchical_modeling
Classification algorithm in statistics
\{C(X)\neq Y\}.} The Bayes classifier is C Bayes ( x ) = argmax r ∈ { 1 , 2 , … , K } P ( Y = r ∣ X = x ) . {\displaystyle C^{\text{Bayes}}(x)={\underset
Bayes_classifier
Bayesian updating Empirical Bayes method – Bayesian statistical inference method Evidence under Bayes theorem Hierarchical Bayes model – Type of statistical
List of things named after Thomas Bayes
List_of_things_named_after_Thomas_Bayes
1979 book by Richard Swinburne
using scientific inference, mathematical probability theory, such as Bayes' theorem, and of inductive logic. In 2004, a second edition was released under
The_Existence_of_God_(book)
Topics referred to by the same term
Bayes' theorem may refer to: Bayes' theorem - a theorem which expresses how a subjective degree of belief should rationally change to account for evidence
Bayes' theorem (disambiguation)
Bayes'_theorem_(disambiguation)
Probability rule of thumb
the prior probability assigned to a hypothesis is 0 or 1, then, by Bayes' theorem, the posterior probability (probability of the hypothesis, given the
Cromwell's_rule
Probability puzzle
to Bayes' rule, the posterior odds on the location of the car, given that the host opens door 3, are equal to the prior odds multiplied by the Bayes factor
Monty_Hall_problem
Interpretation of probability
term Bayesian derives from Thomas Bayes (1702–1761), who proved a special case of what is now called Bayes' theorem in a paper titled "An Essay Towards
Bayesian_probability
Principle in Bayesian statistics
go from discrete to continuous. Giffin and Caticha (2007) state that Bayes' theorem and the principle of maximum entropy are completely compatible and can
Principle_of_maximum_entropy
Constant a such that af(x) is a probability measure
density function, which gives the standard normal distribution. In Bayes' theorem, a normalizing constant is used to ensure that the sum of all possible
Normalizing_constant
Logic error due to ignoring the base rate
explicitly re-introduced using Bayes' theorem. Precision and recall Data dredging – Misuse of data analysis Evidence under Bayes' theorem Inductive argument – Method
Base_rate_fallacy
use of evidence under Bayes' theorem relates to the probability of finding evidence in relation to the accused, where Bayes' theorem concerns the probability
Evidence_under_Bayes'_theorem
Probabilistic graphical representation of causal relationships
A Bayesian network (also known as a Bayes network, Bayes net, belief network, or decision network) is a probabilistic graphical model that represents a
Bayesian_network
Probability of an event occurring, given that another event has already occurred
can be useful to reverse or convert a conditional probability using Bayes' theorem: P ( A ∣ B ) = P ( B ∣ A ) P ( A ) P ( B ) {\displaystyle P(A\mid B)={{P(B\mid
Conditional_probability
Type of "good" decision rule in Bayesian statistics
a generalized Bayes rule. According to the complete class theorems, under mild conditions every admissible rule is a (generalized) Bayes rule (with respect
Admissible_decision_rule
Hypothesis in epistemological philosophy
" Bayes' theorem states a rule for updating a probability conditioned on other information. In 1967, Ian Hacking argued that in a static form, Bayes' theorem
Radical_probabilism
Conditional probability used in Bayesian statistics
probability this student is a girl? The correct answer can be computed using Bayes' theorem. The event G is that the student observed is a girl, and the event T
Posterior_probability
Distribution of an uncertain quantity
uniform distribution on the interval [0, 1]. This is obtained by applying Bayes' theorem to the data set consisting of one observation of dissolving and one
Prior_probability
Quantum analog of Bayes' theorem
theory, the Petz recovery map can be thought of a quantum analog of Bayes' theorem. Proposed by Dénes Petz, the Petz recovery map is a quantum channel
Petz_recovery_map
Doomsday scenario on human births
likely than N1 if a different prior is used for N. More precisely, Bayes' theorem tells us that P(N|X) = P(X|N)P(N)/P(X), and the conservative application
Doomsday_argument
Application of statistical methods to marketing processes
between marketer and market can be seen as a form of Bayesian persuasion. Bayes' theorem is fundamental to Bayesian inference. It is a subset of statistics,
Bayesian inference in marketing
Bayesian_inference_in_marketing
Classical information retrieval model
about Bayes' theorem might be represented simply as the set { Bayes' theorem, probability, decision-making } {\displaystyle \{{\text{Bayes' theorem, probability
Boolean model of information retrieval
Boolean_model_of_information_retrieval
2005 essay written by John Ioannidis
({\text{True}}\mid +)} , which is known as the positive predictive value (PPV). Bayes' theorem allows us to compute the PPV as: P ( True ∣ + ) = ( 1 − β ) P ( True
Why Most Published Research Findings Are False
Why_Most_Published_Research_Findings_Are_False
Rule of logical inference
represents an instance of the law of total probability combined with Bayes' theorem expressed as: Pr ( P ) = Pr ( P ∣ Q ) Pr ( Q ) + Pr ( P ∣ ¬ Q ) Pr (
Modus_tollens
American historian and Christ myth theorist (born 1969)
likewise uses Bayes' theorem to demonstrate the high probability of Jesus' resurrection, and wonder if it is not fatally telling that Bayes' theorem can be used
Richard_Carrier
Cognitive bias
answer around .7. The correct answer according to Bayes' theorem is closer to .97 ( based on Bayes' theorem: 0.7 8 × 0.3 4 0.7 8 × 0.3 4 + 0.3 8 × 0.7 4 {\displaystyle
Conservatism (belief revision)
Conservatism_(belief_revision)
Mathematical logic concept
subjective Bayes' theorem represents a generalization of both contraposition and Bayes' theorem. Contraposition represents an instance of Bayes' theorem which
Contraposition
to several different statistical philosophies of inference, such as Bayes' theorem versus the likelihood function, or positivism versus critical rationalism
Statistical_proof
Mathematical problem
that the warden tells A that prisoner B is to be executed, then, using Bayes' theorem, the posterior probability of A being pardoned, is: P ( A | b ) = P
Three_prisoners_problem
Determining the probability of future events based on past events
existing facts. Inference establishes new facts from data. Its basis is Bayes' theorem. Information describing the world is written in a language. For example
Inductive_probability
Statistical measures of whether a finding is likely to be true
depend also on the prevalence. Both PPV and NPV can be derived using Bayes' theorem. Although sometimes used synonymously, a positive predictive value generally
Positive and negative predictive values
Positive_and_negative_predictive_values
Derivation of the laws of probability theory
Cox's theorem, named after the physicist Richard Threlkeld Cox, is a derivation of the laws of probability theory from a certain set of postulates. This
Cox's_theorem
American logician
logic such as Gödel's incompleteness theorems and Tarski's indefinability theorem. In Bayesian statistics, Bayes' theorem provides a useful rule for updating
Richard_Jeffrey
Number measuring the chance an event occurs
Uses of Various Mathematical Symbols A tutorial on probability and Bayes' theorem devised for first-year Oxford University students Introduction to Probability
Probability
Results about asymptotic posterior normality
In Bayesian inference, the Bernstein–von Mises theorem provides the basis for using Bayesian credible sets for confidence statements in parametric models
Bernstein–von_Mises_theorem
Method of estimating the parameters of a statistical model
function-space applications. In the context of Bayes estimators, the MAP can be recovered as the minimizer of the Bayes risk with risk function L ( θ , a ) = {
Maximum a posteriori estimation
Maximum_a_posteriori_estimation
English mathematician and scientist (1682–1739)
historian of statistics, he may have been the earliest discoverer of Bayes' theorem. He worked as Lucasian Professor of Mathematics at Cambridge University
Nicholas_Saunderson
Method for finding lost objects
correspondingly increased. The revision process is done by applying Bayes' theorem. In other words, first search where it most probably will be found,
Bayesian_search_theory
Probability distribution
parameters of the posterior beta distribution resulting from applying Bayes' theorem to a binomial likelihood function and a prior probability, the interpretation
Beta_distribution
Aspect of facial recognition software
Face hallucination refers to any superresolution technique which applies specifically to faces. It comprises techniques which take noisy or low-resolution
Face_hallucination
(2007). "The netflix prize" (PDF). Proceedings of KDD Cup and Workshop 2007. Bayes, Thomas (1 January 1763). "An Essay Towards Solving a Problem in the Doctrine
Timeline_of_machine_learning
Branch of econometrics
relative-frequency interpretation. The Bayesian principle relies on Bayes' theorem which states that the probability of B conditional on A is the ratio
Bayesian_econometrics
Information Theory
{p(y|x)}{p(y)}}} (with the latter two expressions being equal to the first by Bayes' theorem). The mutual information (MI) of the random variables X and Y is the
Pointwise_mutual_information
Method of statistical analysis
parameters is combined with the data's likelihood function according to Bayes' theorem to yield the posterior belief about the parameters β {\displaystyle
Bayesian_linear_regression
Interplay between observation, experiment, and theory in science
example medical professionals, have shown a lack of proper understanding. Bayes' theorem is the mathematical principle lining out how standing probabilities
Scientific_method
Statistics and machine learning technique
the Bayes optimal classifier represents a hypothesis that is not necessarily in H {\displaystyle H} . The hypothesis represented by the Bayes optimal
Ensemble_learning
Overview of and topical guide to probability
Frequency probability Conditional probability The law of total probability Bayes' theorem Independence (probability theory) (Related topics: measure theory) Sample
Outline_of_probability
false positive, true negative, and false negatives using Bayes' theorem. Using Bayes' theorem will help describe the Probability of an Event (probability
Classification_rule
Averages of repeated trials converge to the expected value
Conjecturing) in 1713. He named this his "golden theorem" but it became generally known as "Bernoulli's theorem". This should not be confused with Bernoulli's
Law_of_large_numbers
Oldest verified person in history (1875–1997)
February 2020, Zak and Philip Gibbs published an assessment applying Bayes' theorem to the question of her authenticity, noting that, while being subjective
Jeanne_Calment
Probabilistic theory of knowledge
approach to various topics in epistemology that has its roots in Thomas Bayes' work in the field of probability theory. It is based on the idea that beliefs
Bayesian_epistemology
Analytical expression in statistics
{\boldsymbol {x}}} and θ {\displaystyle {\boldsymbol {\theta }}} . Applying Bayes' theorem π ( x , θ | y ) = π ( y | x , θ ) π ( x | θ ) π ( θ ) π ( y ) , {\displaystyle
Laplace's_approximation
Paradox in probability theory
add the additional assumption that "at least one is a boy" = B. Using Bayes' Theorem, we find P ( B B ∣ B ) = P ( B ∣ B B ) × P ( B B ) P ( B ) = 1 × ( 1
Boy_or_girl_paradox
Concept in probability theory
several distinct events, hence the name. The law of total probability is a theorem that states, in its discrete case, if { B n : n = 1 , 2 , 3 , … } {\displaystyle
Law_of_total_probability
Mathematical statistics distance measure
posterior distribution p ( x ∣ y , I ) {\displaystyle p(x\mid y,I)} using Bayes' theorem: p ( x ∣ y , I ) = p ( y ∣ x , I ) p ( x ∣ I ) p ( y ∣ I ) {\displaystyle
Kullback–Leibler_divergence
Criterion for model selection
Schwarz and published in a 1978 paper, as a large-sample approximation to the Bayes factor. The BIC is formally defined as B I C = k ln ( n ) − 2 ln ( L
Bayesian information criterion
Bayesian_information_criterion
Epistemological philosophy advanced by Karl Popper
probability and, given an outcome, Bayes' theorem can be applied to revise the a priori probability of each theory. Bayes' theorem is useful when we have the
Critical_rationalism
Inference seeking the simplest and most likely explanation
Y {\displaystyle a_{Y}} . Based on these parameters, the subjective Bayes' theorem denoted with the operator ϕ ~ {\displaystyle \;{\widetilde {\phi }}}
Abductive_reasoning
Textbook by Abraham de Moivre
in Thomas Bayes' famous posthumous paper An Essay Towards Solving a Problem in the Doctrine of Chances, wherein a version of Bayes' theorem was first
The_Doctrine_of_Chances
Rationality-focused community blog
decision-making and the evaluation of evidence. One suggestion is the use of Bayes' theorem as a decision-making tool. There is also a focus on psychological barriers
LessWrong
Community school in Penistone, South Yorkshire, England
with alumni including Nicholas Saunderson, the probable inventor of Bayes' theorem, in the 18th century. At various times in its history it has been single-sex
Penistone_Grammar_School
Probability theorem on no events occurring
{\displaystyle S_{1}=S\cap \Gamma (A),S_{2}=S\setminus S_{1}} . We have from Bayes' theorem Pr ( A ∣ ⋀ B ∈ S B ¯ ) = Pr ( A ∧ ⋀ B ∈ S 1 B ¯ ∣ ⋀ B ∈ S 2 B ¯ ) Pr
Lovász_local_lemma
Mathematical methods used in Bayesian inference and machine learning
data. (See also the Bayes factor article.) In the former purpose (that of approximating a posterior probability), variational Bayes is an alternative to
Variational_Bayesian_methods
Function related to statistics and probability theory
Wilks' theorem. The likelihood ratio is also of central importance in Bayesian inference, where it is known as the Bayes factor, and is used in Bayes' rule
Likelihood_function
American statistician (born 1941)
Hall Problem" appeared in print. Selvin proposed a solution based on Bayes' theorem in this second letter and explicitly outlined some assumptions concerning
Steve_Selvin
Surname list
statistician and religious leader Walter Bayes (1869–1956), British painter Bayesian probability, Bayes' theorem, and Bayes estimator, concepts in probability
Bayes
Events with equal probabilities of occurring
establish prior probabilities for the various hypotheses before applying Bayes' theorem. One procedure is to assume that these prior probabilities have some
Equiprobability
Probability distribution
} The Bayes estimator is asymptotically efficient and as the sample size approaches infinity (n → ∞), it approaches the MLE solution. The Bayes estimator
Binomial_distribution
Quantitative analysis of law
and terrorists. The efficacy of screening tests can be analyzed using Bayes' theorem. Suppose that there is some binary screening procedure for an action
Jurimetrics
Range to estimate an unknown parameter
idea that interval estimation is possible without any reference to Bayes' theorem and with the solution being independent from probabilities a priori
Confidence_interval
Book by John von Neumann and Oskar Morgenstern
preferences to endogenize probability and make it subjective. He then used Bayes' theorem to update these subject probabilities in light of new information, thus
Theory of Games and Economic Behavior
Theory_of_Games_and_Economic_Behavior
Concept in probability theory
and θ {\displaystyle \theta } are the parameters of the model. Using Bayes' theorem we can expand p ( θ | x ) = p ( x | θ ) p ( θ ) p ( x ) , {\displaystyle
Conjugate_prior
Calculation of complex statistical distributions
(Ergodic Theorem). And we need aperiodicity, irreducibility and extra conditions such as reversibility to ensure the Central Limit Theorem holds in MCMC
Markov_chain_Monte_Carlo
In Bayesian probability theory
can be stated schematically as posterior odds = prior odds × Bayes factor Empirical Bayes methods Lindley's paradox Marginal probability Bayesian information
Marginal_likelihood
Pattern-recognition performance metrics
actual class is positive). Both quantities are, therefore, connected by Bayes' theorem. The probabilistic interpretation allows to easily derive how a no-skill
Precision_and_recall
Property of a statement that can be logically contradicted
way to accept or reject a potential falsifier can be used, including Bayes' theorem and estimates of prior probabilities that are made using critical discussions
Falsifiability
Statistics concept
to the k t h {\displaystyle k^{th}} subset. Recursive application of Bayes' theorem leads to: P ( X 1 ∧ X 2 ∧ ⋯ ∧ X N ∣ δ ∧ π ) = P ( L 1 ∧ ⋯ ∧ L K ∣ δ
Bayesian_programming
Statistical method for molecular phylogenetics
refers to a probabilistic method developed by Reverend Thomas Bayes based on Bayes' theorem. Published posthumously in 1763 it was the first expression
Bayesian inference in phylogeny
Bayesian_inference_in_phylogeny
Short story by Frank Stockton
between the lady and the tiger as they wait for the doors to be opened. Bayes' Theorem Catch-22 (logic) Cliffhanger The Crying of Lot 49 Monty Hall problem
The_Lady,_or_the_Tiger?
Logical fallacy
malignancy given a positive test result as stated above is 7.5%, derived via Bayes' theorem: P ( malignant | positive ) = P ( positive | malignant ) P ( malignant
Confusion_of_the_inverse
Random process independent of past history
n and k. Every stationary chain can be proved to be time-homogeneous by Bayes' rule. A necessary and sufficient condition for a time-homogeneous Markov
Markov_chain
Process forming a path from many random steps
approximation theorem. The convergence of a random walk toward the Wiener process is controlled by the central limit theorem, and by Donsker's theorem. For a
Random_walk
2018 book by Judea Pearl and Dana Mackenzie
of the work of Sewall Wright. Chapter 3 provides an introduction to Bayes' Theorem. Then Bayesian Networks are introduced. Finally, the links between Bayesian
The_Book_of_Why
Average value of a random variable
Section 15. Billingsley 1995, Theorems 31.7 and 31.8 and p. 422. Billingsley 1995, Theorem 16.13. Billingsley 1995, Theorem 16.11. Uhl, Roland (2023). Charakterisierung
Expected_value
Tool for assisting judgement in uncertainty
50%, and some gave answers over 80%. The correct answer, found using Bayes' theorem, is lower than these estimates: There is a 12% probability (0.12 = 0
Representativeness_heuristic
Observed inability to reproduce scientific studies
replicate in psychology. In the framework of Bayesian probability, by Bayes' theorem, rejecting the null hypothesis at significance level 5% does not mean
Replication_crisis
Randomly determined process
Independence Conditional independence Law of total probability Law of large numbers Bayes' theorem Boole's inequality Venn diagram Tree diagram v t e
Stochastic
Types of numerical variables in mathematics
Independence Conditional independence Law of total probability Law of large numbers Bayes' theorem Boole's inequality Venn diagram Tree diagram v t e
Continuous or discrete variable
Continuous_or_discrete_variable
theorem (harmonic analysis) Bayes' theorem (probability) Bertrand's ballot theorem (probability theory, combinatorics) Burke's theorem (probability theory, queueing
List_of_theorems
Foundations of probability theory
arguing that the axioms are satisfied by this definition. For example, Cox's theorem derives the laws of probability based on a "logical" definition of probability
Probability_axioms
Method of estimating the parameters of a statistical model, given observations
errors, the Bayes Decision rule can be reformulated as: h Bayes = a r g m a x w [ P ( x ∣ w ) P ( w ) ] , {\displaystyle h_{\text{Bayes}}={\underset
Maximum_likelihood_estimation
Applications of logic under uncertainty
opinions, conditional deduction (MP) and abduction (MT)., as well as Bayes' theorem. The approximate reasoning formalism proposed by fuzzy logic can be
Probabilistic_logic
BAYES THEOREM
BAYES THEOREM
Surname or Lastname
English and Dutch
English and Dutch : variant spelling of Bay.
Surname or Lastname
English
English : variant spelling of Bailes.Czech (Baleš) and Slovak (Báleš) : from a pet form of Bal, a shortened form of the personal name Baltazar.
Boy/Male
Anglo Saxon
From Ban.
Surname or Lastname
English
English : variant spelling of Bailes.
Surname or Lastname
English
English : variant spelling of Baines.
Surname or Lastname
English
English : patronymic from the Middle English personal name Baye (see Bay).
Boy/Male
English Shakespearean
often used as a surname.
Surname or Lastname
English (East Midlands)
English (East Midlands) : variant of Bayes.
Surname or Lastname
English
English : patronymic from Bay.
Surname or Lastname
Czech and Slovak (Bareš)
Czech and Slovak (Bareš) : from a pet form of the personal name Bartoloměj (see Bartholomew).German : probably from a Germanic personal name based on bero ‘bear’English : unexplained; perhaps a variant of Barrs or Barras.Galician : habitational name from Bares in A Coruña province.
Surname or Lastname
English (Lancashire)
English (Lancashire) : variant spelling of Hayes.
Boy/Male
Irish American English
Surname.
Surname or Lastname
English
English : unexplained.variant of Spanish Rayas.Muslim : variant of Rais.
Boy/Male
American, Australian, British, English, Irish
From the Hedged Place; Surname
Surname or Lastname
Irish
Irish : reduced Anglicized form of Gaelic Ó hAodha ‘descendant of Aodh’, a personal name meaning ‘fire’ (compare McCoy). In some cases, especially in County Wexford, the surname is of English origin (see below), having been taken to Ireland by the Normans.English : habitational name from any of various places, for example in Devon and Worcestershire, so called from the plural of Middle English hay ‘enclosure’ (see Hay 1), or a topographic name from the same word.English : habitational name from any of various places, for example in Dorset, Greater London (formerly in Kent and Middlesex), and Worcestershire, so called from Old English hǣse ‘brushwood’, or a topographic name from the same word.English : patronymic from Hay 3.French : variant (plural) of Haye 3.Jewish (Ashkenazic) : metronymic from Yiddish name Khaye ‘life’ + the Yiddish possessive suffix -s.U.S. President Rutherford B. Hayes (1822–1893), born in Delaware, OH, was descended from old New England families on both sides. Through the paternal line he was descended from George Hayes, who emigrated from Scotland in 1680 and settled in Windsor, CT.
Surname or Lastname
English
English : patronymic from the personal name May (see May).
Surname or Lastname
English
English : patronymic from Bate (see Bartholomew).Americanized form of German Betz. See also Betts.
Surname or Lastname
English
English : patronymic from Kay 5.
Surname or Lastname
English (chiefly Yorkshire)
English (chiefly Yorkshire) : variant spelling of Boyce.Americanized spelling of French Bois.
Boy/Male
American, British, English, Shakespearean
Ploughman; Variant of Bartholomew Often Used as a Surname
BAYES THEOREM
BAYES THEOREM
Boy/Male
Indian, Modern
The Power of Unity
Girl/Female
Arabic
World for Amazing
Boy/Male
Hindu
The Moon
Girl/Female
Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Tamil, Telugu
Collection
Girl/Female
Latin
Gray eyes.
Girl/Female
Muslim
Light, Honor
Boy/Male
Indian
Acclaim, Appreciation, Beautification
Girl/Female
Australian, French, Italian, Latin
Imperial
Girl/Female
Arabic, Muslim
Small Pearl; Diminutive of Jumana
Boy/Male
Indian
Super
BAYES THEOREM
BAYES THEOREM
BAYES THEOREM
BAYES THEOREM
BAYES THEOREM
v. i.
To do the work of baking something; as, she brews, washes, and bakes.
n.
One of the branchiae attached to the bases of the legs in Crustacea.
v. t.
A song to quiet babes or lull them to sleep; that which quiets.
v. i.
To make up packs, bales, or bundles; to stow articles securely for transportation.
a.
Situated under, or at the bases of, the lobules of the liver.
n.
A solid body resembling a right cylinder, but having the bases or ends elliptical.
n.
Either of two metameric nitrogenous hydrocarbon bases, C12H8N2, analogous to phenanthridine, but more highly nitrogenized.
n.
An affirmative vote; one who votes in the affirmative; as, "To call for the ayes and noes;" "The ayes have it."
a.
Related to, or formed from, pyridin or its homologues; as, the pyridic bases.
pl.
of Basis
n.
Alt. of Bayze
n.
The player stationed in the field bewtween the second and third bases.
n.
Packs or bales of Spanish wool.
n.
Wearing, or protected by, bases.
imp. & p. p.
of Bay
n.
One of several isomeric organic bases of the quinoline series of alkaloids.
n.
A five-pointed star, resembling five alphas joined at their bases; -- used as a symbol.
v. i.
To be baked; to become dry and hard in heat; as, the bread bakes; the ground bakes in the hot sun.
a.
Having a bay or bays.
n.
any one of a series of nitrogenous bases, certain of which are used as antipyretics.